Artificial Intelligence Jobs in Manchester

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

• Wantage
• On-site
• Senior
• Permanent

Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.

ROS · ROS2 · Gazebo +1

• Welwyn Garden City
• Hybrid
• £500 – £600 pd
• Mid-level
• Contract

Hands-on engineering role building AI-powered applications, automation workflows and internal business tools, including deploying R Shiny apps used by business teams. Involves Python, SQL, REST API integration, data pipelines and working with LLMs and Generative AI to create AI assistants and automated decision-support tools, collaborating directly with stakeholders from concept to production.

Shiny · Snowflake · LangChain +3

• London
• Remote
• Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, using external infrastructure such as open-source models and public APIs to study AI's economic effects, labour markets, and cyber/bio offense-defense balance. Fellows receive direct mentorship from Anthropic researchers and are expected to produce a public output such as a paper submission.

Open-Source Models · Public APIs

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3